85 10 859 https://linen-dog.lnx.warwick.ac.uk/files/original/804425bfbda9636001e6afe5f7c28168.pdf 0c84c429d36e5cef9c9b38edc7dccc28 Academic Paper An academic paper Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Racial and ethnic disparities across the diagnostic pathway for individuals with suspected or confirmed endometriosis: A scoping review Subject The topic of the resource Endometriosis Date A point or period of time associated with an event in the lifecycle of the resource 06/10 https://linen-dog.lnx.warwick.ac.uk/files/original/b53e1c15718effcb40563d5d964acf53.pdf 117de396a62b20aa6453ca8c05500998 Academic Poster An academic poster Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Racial and ethnic disparities across the diagnostic pathway for individuals with suspected or confirmed endometriosis: A scoping review Contributor An entity responsible for making contributions to the resource Reema Ali and Rania Abdel Rahman https://linen-dog.lnx.warwick.ac.uk/files/original/4fbf17141b7d69f738e808fd228ef686.pdf 1335429794a2b97013586f4731e16284 Academic Paper An academic paper Abstract The abstract of the paper Artificial intelligence has achieved impressive results in traditional board games such as Chess and Go, but modern board games have received less attention. These games can introduce additional challenges, such as random events and a wider range of possible moves, making them useful environments for studying AI behaviour in recreational game-playing contexts. This project examines how different AI approaches perform as they move from a small traditional game to the modern board game Azul, aiming to better understand their behaviours, strengths and limitations. This project combines background research with practical experimentation. Existing literature on game-playing AI informed the development of three Python agents: a search-based approach using Minimax, a simulation-based approach using Monte Carlo Tree Search (MCTS), and a learning-based approach using Tabular Q-Learning (TabQL). Each approach was first implemented for tic-tac-toe and then adapted to the complete two-player game of Azul. The agents were compared through head-to-head simulated matches. In tic-tac-toe matches, every game ended in a draw. In Azul, MCTS won more games than Minimax, while both won every reported match against TabQL. These results suggest that the approaches performed differently under the configurations tested, but the limited number of matches prevents broader conclusions about playing strength. TabQL’s weaker Azul results may reflect the difficulty of learning in a game with many possible states and moves. This research provides a foundation for applying AI techniques to a wider range of modern board games. Future work could investigate other reinforcement-learning methods, explore hybrid approaches, human-interaction studies, and applications in game design and decision-making contexts. Meta Tags Meta tags AI, Artificial Intelligence, Games, Game-Playing, Python, RL Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Comparative Study Of Game-Playing AI From Traditional Games To Modern Games Subject The topic of the resource Artificial Intelligence Contributor An entity responsible for making contributions to the resource Mridul Dhall https://linen-dog.lnx.warwick.ac.uk/files/original/1869715fe9263f22c6dcdc30f90cc866.pdf f306a4e58fabd21cbc07ff4829d7853f Academic Paper An academic paper Abstract The abstract of the paper In an age of mass political apathy and democratic backsliding, we need a better understanding of what Democracy should be doing for the citizen. This understanding can be used as an ideal which citizens, representatives, and policy makers can use when reconstructing our democracies. This paper works to develop that understanding of what good democracy realises for its citizens. It argues that democracy facilitates authentic authorship, a concept which can assimilate the other major understandings within democratic theory. Meta Tags Meta tags Democracy, Democratic Theory, Existentialism, Sartre, Authorship, Authentic Authorship, Freedom, Politics, Political Theory, Individual, First-Personal. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource But What Does Democracy Do for Me? Subject The topic of the resource Democratic Theory Date A point or period of time associated with an event in the lifecycle of the resource 09/10/2026 Contributor An entity responsible for making contributions to the resource Lorenzo Serini, Fabienne Peter https://linen-dog.lnx.warwick.ac.uk/files/original/b651fa6ec6403e40dcad79fdda3c0ed5.pdf e555842bb8743ca4a132e5f938b70ed6 Academic Paper An academic paper Abstract The abstract of the paper Between 2020 and 2025, Peru’s government and Congress enacted eight measures that let people withdraw money from their compulsory private pension accounts. In 2024, Congress passed a reform banning further withdrawals. The ban began to apply on 6 September 2025. Fourteen days later, Congress published a law that allowed another withdrawal and removed the restrictions the reform had introduced. This paper asks why Congress reversed a restriction it had itself approved. It proposes a working hypothesis: once withdrawals became politically normal, voting against was costlier than voting for. A legislator’s earlier stance should then predict little about their later vote. The paper tests this on a panel of 130 legislators over five plenary votes cast by the Congress elected in 2021. It uses four votes from an earlier, separate Congress only for context. The evidence is descriptive, not causal. Support never fell below 90 per cent of votes cast in the Congress elected in 2021 and reached 95.7 per cent in September 2025. Twenty-three legislators voted for a withdrawal in April 2024, for the reform in June 2024 and for the reversal in September 2025. Of the legislators who backed the reform, 33 of 38 voted for the reversal. Of those who opposed it, 9 of 10 did. Emergency relief alone is hard to reconcile with the later withdrawals. Party coordination is consistent with part of the record, not all of it. Public demand cannot be ruled out. Electoral incentives and ideology are not tested. Meta Tags Meta tags Peru, pension withdrawals, private pension system, political economy, congressional voting, pension reform, public policy, legislative behaviour, Peru Congress, social security Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource The Withdrawal Ratchet: Why Did Peru’s Congress Reverse Its Own Pension Restrictions? Subject The topic of the resource Economics Date A point or period of time associated with an event in the lifecycle of the resource 4th October 2026 Contributor An entity responsible for making contributions to the resource Salvador Quesada Boza https://linen-dog.lnx.warwick.ac.uk/files/original/d8ddda5dbc5f5684f7d5df7305ee54ae.docx 516fb283d648c2e577dad36e7f2714f8 Academic Paper An academic paper Abstract The abstract of the paper Histories of the British Army in Northern Ireland have tended to focus on officers, strategy and tactics, leaving the experience of the enlisted men who made up most of the force largely unheard. This project begins with one of those men, my grandfather, a Royal Green Jackets warrant officer whose 1972 MBE for operational service in Northern Ireland has never been explained, and asks what oral history can recover where the institutional record is silent. Drawing on five oral history interviews with veterans of the Royal Green Jackets and the Royal Regiment of Fusiliers, whose service ranged from 1969 to the mid-2000s, the project takes a social history approach to their lives before deployment, their conditions of service, their relationships with the communities they policed, and their reflections decades later. It argues that many enlisted men shared more materially with those communities than with the officers who commanded them; that Irish heritage pulled soldiers in very different directions; that community attitudes towards the Army shifted sharply across the conflict; and that much of the practical knowledge shaping soldiers’ conduct was passed on informally and never recorded. The project complicates the image of the Army as a single institution, and shows how oral history can recover what the archive leaves out. Keywords: oral history; British Army; Northern Ireland; Operation Banner; the Troubles; social history Meta Tags Meta tags oral history, British Army, Northern Ireland, the Troubles, Operation Banner, social history, enlisted soldiers, Royal Green Jackets, veterans, class, Irish identity, memory, counter-insurgency, military history, URSS 2026 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Between Community and Command: British Enlisted Soldiers in Northern Ireland during the Troubles Subject The topic of the resource The lived experience of British Army enlisted soldiers, especially the Royal Green Jackets, during Operation Banner in Northern Ireland (1969-2007), recovered through oral history interviews with veterans. Date A point or period of time associated with an event in the lifecycle of the resource 2026-10-08 Contributor An entity responsible for making contributions to the resource Dr Elizabeth Egan (project supervisor), Department of History, University of Warwick https://linen-dog.lnx.warwick.ac.uk/files/original/a6536e9e7952e0d08d395931304f2a6c.pdf 101e9f405e1fcbd2a074e7d3c02a1cfd Academic Paper An academic paper Abstract The abstract of the paper This paper examines whether labour market conditions are associated with university degree outcomes in UK higher education. Using Higher Education Statistics Agency (HESA) data on undergraduate, first degree classifications from 2006/07 to 2024/25, we analyse the relationship between graduating cohorts’ unemployment conditions during penultimate and final years of study, and the percentage of first degree qualifications awarded first class honours. We find a consistently negative relationship between unemployment and first-class attainment, with limited statistical significance nationally. The resulting association we estimate is stronger and statistically significant in subject-level analysis. Meta Tags Meta tags Economics, Higher Education, Unemployment, UK Labour Market, Academic Outcomes Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Labour Market Uncertainty and University Student Outcomes: Evidence from HESA Graduating Cohorts Subject The topic of the resource Economics Date A point or period of time associated with an event in the lifecycle of the resource October 2026 Contributor An entity responsible for making contributions to the resource Marta Radian https://linen-dog.lnx.warwick.ac.uk/files/original/5fb5354b83399b4959a2ed0eba4db34b.pdf 24ae52d58103742b6be3f7e935c870b0 Academic Paper An academic paper Abstract The abstract of the paper Financial socialisation within families contributes to the development of financial values, attitudes and behaviours. While existing research has established the importance of parental influence, less attention has been given to how parents’ own financial experiences shape the values they subsequently seek to communicate to their children. This study explores how parents interpret their financial experiences, negotiate financial values inherited from their families, and draw on these values in purposive financial socialisation. A qualitative research design was adopted, using semi-structured interviews with three parents from relatively economically advantaged households in the UK. Thematic analysis examined participants’ accounts of financial experiences, value formation and parental financial socialisation. Findings suggest that financial experiences influenced parental values through participants’ interpretations of the consequences associated with financial decisions and circumstances. Both direct experiences and observations of others contributed to the development and refinement of financial values. Financial socialisation was also adaptive and bidirectional, with children’s behaviours and responses influencing parental approaches. The findings suggest that financial values are not simply transmitted across generations but continually reconstructed through experience, interpretation and family interaction. These findings have implications for understanding variation in parental financial socialisation and suggest that financial education should consider the diverse experiences and contexts through which financial values develop. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Qualitative Study Of The Nuances Of Financial Socialisation Within High-Income Families. Subject The topic of the resource Familial financial socialisation Date A point or period of time associated with an event in the lifecycle of the resource 12 October Contributor An entity responsible for making contributions to the resource Wen Chi Low https://linen-dog.lnx.warwick.ac.uk/files/original/87d8eb058337b48a341ca8fff2d125ae.pdf 16dc8401fb9592b7f7378360127482a8 Academic Paper An academic paper Abstract The abstract of the paper This paper introduce different initial private beliefs into a repeated one-side matching markets. In real life matching, judging others based on first impressions is inevitable and these impressions are subjective and maybe inaccurate. We show that, under sufficient learning, each agent eventually become either a permanent solo or a member of a persisting pair. The initial beliefs play an important role because they will affect the opportunity to form pairs and subsequent interactions. Hence, the initial information state will affect the lower bounds of the expected proportions of these eventual outcomes through its effect on the probability that the conditions for each eventual outcomes required are satisfied. We use simulations under specific assumptions about the initial belief distribution and true type distribution to examine how first impressions and population size affect the matching outcomes over a finite horizon. The simulation results reflect how the tight pairing restrictions of the model affect the proportion of agents who remain solo. Meta Tags Meta tags Economics, Game Theory, Matching Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource One-Sided Partner Matching Under Ex-Ante Uncertainty: From Initial Beliefs to Final Proportions Subject The topic of the resource Economics Date A point or period of time associated with an event in the lifecycle of the resource 2026 Contributor An entity responsible for making contributions to the resource Man-Chit Chang https://linen-dog.lnx.warwick.ac.uk/files/original/2914ac2ef3ddd1bb5b8dcebf3313cb4e.pdf 06041db4d7bd1f33b5834205c62a3bc1 Academic Paper An academic paper Abstract The abstract of the paper Genetically identical cells in the same conditions can contain different numbers of messenger RNA (mRNA) molecules from the same gene, as transcription and mRNA degradation are stochastic events. We ask how the way a transcription factor controls a gene shapes this variation between cells, using the copper-responsive yeast gene CUP1 and its transcription factor Ace1p as the biological setting. We develop a model in five stages: constitutive production; a promoter that switches between OFF and ON; activation controlled by a fixed Ace1p input; explicit Ace1p binding at the four CUP1 response elements; and a reduced two-state model whose activation rate is a Hill function of the input. For each stage we derive the steady-state mean and Fano factor (variance divided by mean) and check them against exact Gillespie simulations. When the input controls only how often the promoter switches ON, a stronger input raises the mean and lowers the Fano factor, whilst the mean burst size stays fixed. Following binding at four sites shows that the input also lengthens ON periods, so it changes burst size as well as burst frequency. With the illustrative parameters used here, a Hill reduction calibrated to the four-site model reproduces its mean to within about 10% over the inputs studied, but underestimates the Fano factor by up to about 19% and overestimates the burst frequency by up to about 168%. Preserving the average mRNA level therefore does not preserve the variation between cells. Meta Tags Meta tags mathematical biology, stochastic modelling, gene expression, transcriptional bursting, transcription factors, Ace1p, CUP1, yeast, Gillespie algorithm, Fano factor, model reduction Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Stochastic modelling of transcriptional bursting modulated by transcription-factor binding: the Ace1p–CUP1 system in yeast Subject The topic of the resource Mathematical biology: stochastic modelling of gene expression and transcriptional bursting Date A point or period of time associated with an event in the lifecycle of the resource 2026 Contributor An entity responsible for making contributions to the resource Deven Parmar (author); Prof. Bärbel Finkenstädt (supervisor)